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H.264/AYC video error concealment algorithm by employing motion vector recovery under cloud computing environment

机译:云计算环境下采用运动矢量恢复的H.264 / AYC视频错误隐藏算法

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摘要

Network-based cloud computing has rapidly expanded as an effective way of video processing and transmission. Since packet losses or errors may frequently occur in cloud computing environment during the transmission of compressed video, error concealment is applied in the decoder to prevent significant degradation of image quality. Motion vector (MV) recovery is a widely-used temporal error concealment which shows satisfactory performance in practical application of video transmission. In this paper, a fast and effective temporal error concealment algorithm for H.264/AVC is presented, which efficiently utilizes the MVs of neighboring macroblocks (MB) which are adjacent to the lost MB under different circumstances. To ensure the precision of the MV recovery, a smallest division of 4 × 4 sub-block is applied, which will not bring too much complexity in the proposed algorithm. Each MV of sub-block is restored in individual method, and the recovery information is gathered from the nearby 20 sub-blocks. Simulation results under the virtual cloud environment show that our scheme can highly improve the quality of reconstructed video and obtain a gain of about 4 dB in PSNR, compared with other temporal error concealment methods in the condition of different packet loss rates and quantization parameters. The practical simplicity ensures that the proposed method can be readily applied to real-time video applications running under cloud computing environment.
机译:基于网络的云计算已迅速扩展为一种有效的视频处理和传输方式。由于在压缩视频的传输期间云计算环境中可能经常发生数据包丢失或错误,因此在解码器中应用了错误隐藏功能以防止图像质量显着下降。运动矢量(MV)恢复是一种广泛使用的时间错误隐藏,在视频传输的实际应用中显示出令人满意的性能。本文提出了一种快速有效的H.264 / AVC时间错误隐藏算法,该算法有效利用了在不同情况下与丢失的MB相邻的相邻宏块(MB)的MV。为了确保MV恢复的精度,应用了最小的4×4子块划分,该算法不会带来太大的复杂性。子块的每个MV用单独的方法恢复,并且从附近的20个子块中收集恢复信息。在虚拟云环境下的仿真结果表明,在不同丢包率和量化参数的情况下,与其他时间错误隐藏方法相比,该方案可以大大提高重建视频的质量,并获得约4 dB的PSNR增益。实际的简便性确保了所提出的方法可以容易地应用于在云计算环境下运行的实时视频应用程序。

著录项

  • 来源
    《Journal of supercomputing》 |2014年第3期|1180-1199|共20页
  • 作者单位

    University of Electronic Science and Technology of China, Main Building A1 Room 311A, Xiyuan Road 2006#, High Tech. Zone, Chengdu, Sichuan, China;

    University of Electronic Science and Technology of China, Research Building B Room 522, Xiyuan Road 2006#, High Tech. Zone, Chengdu, Sichuan, China;

    University of Electronic Science and Technology of China, Research Building B Room 522, Xiyuan Road 2006#, High Tech. Zone, Chengdu, Sichuan, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Temporal error concealment; Motion vector recovery; Cloud computing environment; H.264/AVC;

    机译:隐藏时间错误;运动矢量恢复;云计算环境;H.264 / AVC;

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